Welcome to the “Pathophysiology of the Placenta” Group, headed by Isabella Ellinger. This group is part of the Department of Pathophysiology and Allergy Research at the Center of  Pathophysiology, Infectiology and Immunology of the Medical University of Vienna in the Austrian capital, Vienna.

The primary aim of my research group is to study uptake/traffic/effects of maternal macromolecules at the materno-fetal interface under physiologic and pathophysiologic conditions.

The second important mission is science education and scientific communication /knowledge dissemination.

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Publications                                                                                                                               Science communication


MedUni Wien/F. Matern

11,433 guests came to visit the Medical University of Vienna during the Long Night of Research.The booth “Calcium is cool!” presented the EU-funded research project “CaSR Biomedicine”

Mahbod A, Ecker R, Ellinger I. Skin Lesion Classification Using Hybrid Deep Neural Networks. arXiv preprint arXiv:1702.08434. 2017 Feb 27. (ISIC 2017: Skin Lesion Analysis Towards Melanoma Detection Challenge)

(Vienna, 07 June 2018) WISIA (Women in Science - an Interdisciplinary Association) won the Sustainability Award 2018 in the Structural Anchoring category. This inter-university network has linked female researchers and promoted mutual exchange and joint projects. Three MedUni Vienna researchers, Ruth Kutalek (Center for Public Health), Enikö Kallay and Isabella Ellinger (Institute of Pathophysiology and Allergy Research), belong to the association.

Jurorin Bettina Leidl (Kunst Haus Wien), Bundesministerin Elisabeth Köstinger, Bundesminister Heinz Fassmann. WISIA members: Isabella Ellinger (MedUni Wien), Claudia Eder (Orthopädisches Spital Speising),  Enikö Kallay (MedUni Wien), Ildikó Merta (TU Wien), Vitore Shala-Mayrhofer (Landwirtschaftskammer Österreich)

ESR Amirreza Mahbod received a € 500,- congress scholarship from ÖH Med Vienna to visit the 15th International Conference on Image Analysis and Recognition (ICIAR 2018), which takes place in Póvoa de Varzim, Portugal (June 27-29, 2018). Amirreza is going to present his work on Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network Fusion, which will be published as a paper in Springer Lecture Notes in Computer Science.